Enhancing Canine Disaster Search

This paper describes canine augmentation technology (CAT) for use in urban search and rescue (USAR). CAT is a WiFi enabled sensor array that is worn by a trained canines deployed in urban disasters. The system includes, but is not limited to, cameras that provide emergency responders with real-time data to remotely monitor, analyze and take action during USAR operations. An analysis is made of the current tools available to USAR workers including rescue robots and canine search teams. From this analysis came the design of CAT-a system that extracts the strengths of each available USAR tool and combines them to compliment each other. Our experiments yield promising results that CAT may provide significant help to rescuers

Computational Public Safety in Emergency Management Communications

Communications are very important in any situation but in emergency management it is imperative that the communications be reliable and responsive to the evolving situation. In emergency management there are many different types of networks with different objectives. It is of immense value to have the ability to seamlessly integrate other networks and computing resources into one interconnected heterogeneous network. The entire management team should be able to access any of the individual networks and their resources. In this paper we discuss various wireless network communication options in the context of their viability for use in emergency management. We analyze various technical aspects such as propagation delay, packet delivery ratio, and transmission rates. In addition the environmental conditions that impair communications are discussed. All experiments we conducted took place in a setting that was real, using real equipment that was physically situated in settings that can be expected in urban disaster settings—our results are not simulations. They were performed in cooperation with the Ontario Provincial Police, Provincial Emergency Response Tea

Dogs are able to generalize directional acoustic signals to different contexts and tasks

Previous studies suggested that dogs are able to use both egocentric and allocentric cues spontaneously in specified spatial tasks. They can also learn rapidly ‘go-left/go-right’ tasks based on stimulus location but relying on stimulus quality. At the same time, relatively little research has looked at the possibility of whether dogs are able to solve a spatial problem based on previously trained signals in novel situations. In the present study we have examined whether dogs are able to rely on quality differences in sound stimuli for directional behaviour and to generalise this rule in different field conditions. First, we trained 16 adult pet dogs in the lab to go left and right based upon qualitatively different sound signals. After having reached the criterion, subjects participated in five field test sessions that included several novel targets (balls/trees/humans) at different distances (7–18 m) and angular deviations (36°–87°). We wanted to see whether these aspects of the novel context affect the dogs’ performance. After having reached the criterion, subjects participated in five field test sessions that included several novel targets at different distances and angular deviations. The test sessions were followed by a control session in the laboratory in order to exclude the Clever Hans effect. We found that dogs chose the target object that matched the sound signal significantly above the chance level in each test condition and also in the Clever Hans control. Their performance was not affected by different targets and distances, but decreased as a function of angular deviation. These results suggest that dogs are able to learn the ‘go left/go right’ task based on qualitatively different sounds and utilise this rule in novel situations. The angular deviation in choosing the correct target direction proved to be an important factor in the dogs’ performance in a novel context

Adaptive Engineering of an Embedded System, Engineered for use by Search and Rescue Canines

In Urban Search and Rescue (US&R) operations, canine teams are deployed to find live patients, and save lives. US&R may benefit from increased levels of situational awareness, through information made available through the use of embedded systems attached to the dogs. One of these is the Canine Pose Estimation (CPE) system. There are many challenges faced with such embedded systems including the engineering of such devices for use in disaster environments. Durability and wireless connectivity in areas with materials that inhibit wireless communications, the safety of the dog wearing the devices, and form factor must be accommodated. All of these factors must be weighed without compromising the accuracy of the application and the timely delivery of its data. This paper discusses the adaptive engineering process and how each of the unique challenges of emergency response embedded systems can be defined and overcome through effective design methods

Smart Computing and Sensing Technologies for Animal Welfare: A Systematic Review

Animals play a profoundly important and intricate role in our lives today. Dogs have been human companions for thousands of years, but they now work closely with us to assist the disabled, and in combat and search and rescue situations. Farm animals are a critical part of the global food supply chain, and there is increasing consumer interest in organically fed and humanely raised livestock, and how it impacts our health and environmental footprint. Wild animals are threatened with extinction by human induced factors, and shrinking and compromised habitat. This review sets the goal to systematically survey the existing literature in smart computing and sensing technologies for domestic, farm and wild animal welfare. We use the notion of \emph{animal welfare} in broad terms, to review the technologies for assessing whether animals are healthy, free of pain and suffering, and also positively stimulated in their environment. Also the notion of \emph{smart computing and sensing} is used in broad terms, to refer to computing and sensing systems that are not isolated but interconnected with communication networks, and capable of remote data collection, processing, exchange and analysis. We review smart technologies for domestic animals, indoor and outdoor animal farming, as well as animals in the wild and zoos. The findings of this review are expected to motivate future research and contribute to data, information and communication management as well as policy for animal welfare

Wireless Mesh Network Performance for Urban Search and Rescue Missions

In this paper we demonstrate that the Canine Pose Estimation (CPE) system can provide a reliable estimate for some poses and when coupled with effective wireless transmission over a mesh network. Pose estimates are time sensitive, thus it is important that pose data arrives at its destination quickly. Propagation delay and packet delivery ratio measuring algorithms were developed and used to appraise Wireless Mesh Network (WMN) performance as a means of carriage for this time-critical data. The experiments were conducted in the rooms of a building where the radio characteristics closely resembled those of a partially collapsed building-a typical US&R environment. This paper presents the results of the experiments, which demonstrate that it is possible to receive the canine pose estimation data in realtime although accuracy of the results depend on the network size and the deployment environment.Comment: 19 Pages, IJCNC Journa

Wireless Mesh Network Performance for Urban Search and Rescue Missions

in this paper we demonstrate that the Canine Pose Estimation (CPE) system can provide a reliable estimate for some poses and when coupled with effective wireless transmission over a mesh network. Pose estimates are time sensitive, thus it is important that pose data arrives at its destination quickly. Propagation delay and packet delivery ratio measuring algorithms were developed and used to appraise Wireless Mesh Network (WMN) performance as a means of carriage for this time-critical data. The experiments were conducted in the rooms of a building where the radio characteristics closely resembled those of a partially collapsed building-a typical US&R environment. This paper presents the results of the experiments, which demonstrate that it is possible to receive the canine pose estimation data in realtime although accuracy of the results depend on the network size and the deployment environment